A Method for Constructing Automatically 3D Property Right Cluster for Apartment Buildings

SHI Yunfei; ZHAO Jianqing; LI Xuefei; WANG Ronghua; LIU Kehui; ZHAI Qiuping; TIAN De

doi:10.13203/j.whugis20200023

Volume 47 Issue 3

Mar. 2022

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Geomatics and Information Science of Wuhan University > 2022 > 47(3): 447-454. > DOI: 10.13203/j.whugis20200023

SHI Yunfei, ZHAO Jianqing, LI Xuefei, WANG Ronghua, LIU Kehui, ZHAI Qiuping, TIAN De. A Method for Constructing Automatically 3D Property Right Cluster for Apartment Buildings[J]. Geomatics and Information Science of Wuhan University, 2022, 47(3): 447-454. DOI: 10.13203/j.whugis20200023

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A Method for Constructing Automatically 3D Property Right Cluster for Apartment Buildings

1.
Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen 518034, China
2.
Hebei Key Laboratory of Geological Resources and Environment Monitoring and Protection, Shijiazhuang 050021, China
3.
School of Resources and Environment, Linyi University, Linyi 276000, China
4.
Linyi Land Survey and Planning Station, Linyi 276001, China

Funds:

The Open Fund of Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources KF-2018-03-034

the National Natural Science Foundation of China 41601555

the Natural Science Foundation of Shandong Province ZR2017BD018

the Open Fund of Hebei Key Laboratory of Geological Resources and Environment Monitoring and Protection JCYKT201910

More Information

Author Bio:
SHI Yunfei, PhD, professor, specializes in the theories and application of 3D GIS, 3D cadastral and smart city. E-mail: 55734619@qq.com
Corresponding author:
ZHAO Jianqing, senior engineer. E-mail: 13931117667@163.com
Received Date: March 10, 2020
Published Date: March 04, 2022

Graphical Abstract

Abstract

Abstract

Objectives Buildings can be divided into physical cluster and property right cluster from different perspectives, and the latter attached to the former. The existing methods can construct physical cluster and property right cluster of the same building automatically, but the two resulting clusters are independent of each other. This not only increases the cost of modeling, but also is not conducive to the update and maintenance of model data in the later period.
Methods For the problem, we study the relationship between physical cluster and property right cluster of apartment buildings, and find that the hierarchy of connected boundaries determines the property right solids aggregated by cells, and present a method to transform physical clustering into property right clustering automatically. With existing physical clusters, the method transforms the cells of physical clusters into dual points, and the connected boundaries between cells into semantic edges, and the whole physical cluster into node relation graph with Poincaré duality transformation. A segmenting algorithm is designed for node relation graph, which can divide node relation graph into sub node relation graph representing proprietary and co-owned property according to the semantic information of the edges. Furthermore, the non-common boundary surfaces of the cell set corresponded by sub node relation graph are extracted to construct the property right solids, and the aggregation of the property right solids forms the property right cluster.
Results Instead of building two separate clusters, the proposed method only builds a physical cluster and property right cluster is generated by the transformation.
Conclusions The results show that the proposed method can identify the property right solids and construct property right cluster in the existing physical cluster automatically. It saves the modeling cost and facilitates the update and maintenance of the later data.
- apartment buildings 3D model,
- 3D cluster object,
- node relation graph,
- topological data model

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References

[1]	应申, 陈乃镔, 李威阳, 等. 三维房产群集对象可视化方法[J]. 武汉大学学报·信息科学版, 2020, 45(1): 81-88 https://www.cnki.com.cn/Article/CJFDTOTAL-WHCH202001011.htm Ying Shen, Chen Naibin, Li Weiyang, et al. Visualization Methods for the Coherent Set of 3D Building Property Units[J]. Geomatics and Information Science of Wuhan University, 2020, 45(1): 81-88 https://www.cnki.com.cn/Article/CJFDTOTAL-WHCH202001011.htm
[2]	Ying S, Chen N B, Li W Y, et al. Distortion Visualization Techniques for 3D Coherent Sets: A Case Study of 3D Building Property Units[J]. Computers, Environment and Urban Systems, 2019, 78: 101382 doi: 10.1016/j.compenvurbsys.2019.101382
[3]	史云飞. 三维地籍空间数据模型及其关键技术研究[D]. 武汉: 武汉大学, 2009 Shi Yunfei. Research on Three Dimensional Cadastral Spatial Data Model and the Related Key Technology[D]. Wuhan: Wuhan University, 2009
[4]	贺彪, 李霖, 郭仁忠, 等. 顾及外拓扑的异构建筑三维拓扑重建[J]. 武汉大学学报·信息科学版, 2011, 36(5): 579-583 https://www.cnki.com.cn/Article/CJFDTOTAL-WHCH201105018.htm He Biao, Li Lin, Guo Renzhong, et al. 3D Topological Reconstruction of Heterogeneous Buildings Considering Exterior Topology[J]. Geomatics and Information Science of Wuhan University, 2011, 36 (5): 579-583 https://www.cnki.com.cn/Article/CJFDTOTAL-WHCH201105018.htm
[5]	张玲玲, 史云飞, 吕春光, 等. 顾及拓扑的室内薄壁三维模型重建方法[J]. 测绘科学, 2019, 44(12): 141-146 https://www.cnki.com.cn/Article/CJFDTOTAL-CHKD201912021.htm Zhang Lingling, Shi Yunfei, Lü Chunguang, et al. A Method for Reconstructing Indoor Thin-Wall 3D Model Considering Topology[J]. Science of Surveying and Mapping, 2019, 44(12): 141-146 https://www.cnki.com.cn/Article/CJFDTOTAL-CHKD201912021.htm
[6]	张晖, 刘超, 李妍, 等. 基于CityEngine的建筑物三维建模技术研究[J]. 测绘通报, 2014 (11): 108-112 https://www.cnki.com.cn/Article/CJFDTOTAL-CHTB201411029.htm Zhang Hui, Liu Chao, Li Yan, et al. Research on 3D Building Modeling Technology Based on CityEngine [J]. Bulletin of Surveying and Mapping, 2014(11): 108-112 https://www.cnki.com.cn/Article/CJFDTOTAL-CHTB201411029.htm
[7]	Arens C, Stoter J, van Oosterom P. Modelling 3D Spatial Objects in a Geo-DBMS Using 3D Primitive [J]. Computers and Geosciences, 2005, 31(2): 165-177 doi: 10.1016/j.cageo.2004.05.013
[8]	Ying S, Guo R Z, Li L, et al. Construction of 3D Volumetric Objects for a 3D Cadastral System[J]. Transactions in GIS, 2015, 19(5): 758-779 doi: 10.1111/tgis.12129
[9]	李霖, 赵志刚, 郭仁忠, 等. 空间体对象间三维拓扑构建研究[J]. 武汉大学学报·信息科学版, 2012, 37(6): 719-723 https://www.cnki.com.cn/Article/CJFDTOTAL-WHCH201206023.htm Li Lin, Zhao Zhigang, Guo Renzhong, et al. 3D Topological Construction for Spatial Physical Object [J]. Geomatics and Information Science of Wuhan University, 2012, 37(6): 719-723 https://www.cnki.com.cn/Article/CJFDTOTAL-WHCH201206023.htm
[10]	Stoter J E, van Oosterom P J M. Technological Aspects of a Full 3D Cadastral Registration[J]. International Journal of Geographical Information Science, 2005, 19(6): 669-696 doi: 10.1080/13658810500106042
[11]	谭峻. 房地产产权产籍管理[M]. 北京: 中国人民大学出版社, 2002 Tan Jun. Real Estate Property Management[M]. Beijing: People's University Publication House, 2002
[12]	Lee J. A Spatial Access-Oriented Implementation of a 3-D GIS Topological Data Model for Urban Entities[J]. GeoInformatica, 2004, 8(3): 237-264
[13]	史云飞, 卞西蜀, 张永翔, 等. 兼顾语义的室内3维模型自动重建方法[J]. 导航定位学报, 2020, 8(1): 9-14 https://www.cnki.com.cn/Article/CJFDTOTAL-CHWZ202001002.htm Shi Yunfei, Bian Xishu, Zhang Yongxiang, et al. An Automatic Reconstruction Method for Indoor Three-Dimensional Model Considering Semantics [J]. Journal of Navigation and Positioning, 2020, 8(1): 9-14 https://www.cnki.com.cn/Article/CJFDTOTAL-CHWZ202001002.htm

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